ArticleThe annals of applied statistics2019
Survival analysis of DNA mutation motifs with penalized proportional hazards.
Article in The annals of applied statistics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 18 citations in OpenAlex.
- Article
- A Sitewise Model of Natural Selection on Individual Antibodies via a Transformer-Encoder.Molecular biology and evolution · 2025Article
- B cell phylogenetics in the single cell era.Trends in immunology · 2024Review
- Article
- Mutational patterns along different evolution paths of follicular lymphoma.Frontiers in oncology · 2022Article
- Position-Dependent Differential Targeting of Somatic Hypermutation.Journal of immunology (Baltimore, Md. : 1950) · 2020Article
- A Bayesian phylogenetic hidden Markov model for B cell receptor sequence analysis.PLoS computational biology · 2020Article
- Repertoire-wide phylogenetic models of B cell molecular evolution reveal evolutionary signatures of aging and vaccination.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- The Bayesian optimist's guide to adaptive immune receptor repertoire analysis.Immunological reviews · 2018Review
- Benchmarking Tree and Ancestral Sequence Inference for B Cell Receptor Sequences.Frontiers in immunology · 2018Article
- Beyond Hot Spots: Biases in Antibody Somatic Hypermutation and Implications for Vaccine Design.Frontiers in immunology · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
Antibodies, an essential part of our immune system, develop through an intricate process to bind a wide array of pathogens. This process involves randomly mutating DNA sequences encoding these antibodies to find variants with improved binding, though mutations are not distributed uniformly across sequence sites. Immunologists observe this nonuniformity to be consistent with "mutation motifs", which are short DNA subsequences that affect how likely a given site is to experience a mutation. Quantifying the effect of motifs on mutation rates is challenging: a large number of possible motifs makes this statistical problem high dimensional, while the unobserved history of the mutation process leads to a nontrivial missing data problem. We introduce an
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.